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{{Infobox software
| name = PSL
| logo =
| developer = [https://linqs.soe.ucsc.edu/ LINQS Lab]
| released = {{Start date|2011|09|23}}
| latest release version = 2.2.2<ref>{{cite news | url = https://github.com/linqs/psl/tree/2.2.2 | title = PSL 2.2.2 | language = en-US }}</ref>
| latest release date = {{Start date|2020|05|20}}
| repo = {{URL|https://github.com/linqs/psl}}
| programming language = [[Java (programming language)|Java]]
| platform = [[Linux]], [[macOS]], [[Windows]]
| genre = [[Machine Learning]] [[Statistical relational learning]]
| license = [[Apache License 2.0]]
| website = {{URL|https://psl.linqs.org}}
}}
'''Probabilistic Soft Logic (PSL)''' is a [[Statistical relational learning | SRL]] framework for modeling probabilistic and relational domains
<ref>{{cite journal |last1=Bach |first1=Stephen |last2=Broecheler |first2=Matthias |last3=Huang |first3=Bert |last4=Getoor |first4=Lise |date=2017 |title=Hinge-Loss Markov Random Fields and Probabilistic Soft Logic |journal=Journal of Machine Learning Research |volume=18 |pages=1–67}}</ref>.
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